Some of the most exciting work taking place in The New York Times building is being done on the 28th floor, in the paper’s Research and Development Lab. The group serves essentially as a skunkworks project for a news institution that stands to benefit, financially and otherwise, from creative thinking; as Michael Zimbalist, the Times’ vice president of R&D, puts it, the team is “investigating the ideas at the edges of today and thinking about how they’re going to impact business decisions tomorrow.” (For more on the group’s doings, check out the series of videos that we shot there a couple of years ago.).

Much of the R&D Lab’s work, up to now, has been focused on platforms: tablets, TVs, screens, clouds. But the group is also thinking beyond gadgetry to two big ideas that are also a preoccupation of the news industry as a whole: the social sharing of news on the one hand, and the real-time processing of data on the other.

For the past several months, the R&D Lab has been working, quietly, on a time-based representation of how the Times’ news content is being shared in Twitter’s social space. Its name: Project Cascade. Superficially, it’s a data visualization, but it’s actually a tool that could, ever so slightly, change the way we think about online engagement.

It’s the product of a collaboration among Mark Hansen, the UCLA stats professor who spent a spring 2010 sabbatical working at the Times as what Zimbalist calls the paper’s “futurist-in-residence” — that casual title alone offers evidence of the scope of the R&D Lab’s ambition — along with Jer Thorp (data artist in residence) and Jake Porway (data scientist). And it has, despite its pragmatic uses, a firmly artistic attitude: Hansen, along with the artist Ben Rubin, designed the “Moveable Type” screen installation in the Times’ lobby, and Thorp, whose work we’ve written about previously, has converted data from the Times’ API into visualizations that are both revealing and stunning.

The team had access to a trove of usage data for Times stories, and wanted to figure out a way to see and understand the life those stories adopt once they leave the newsroom’s confines and go out into the world. The tool, which focuses on Twitter and uses information from the Bit.ly URL shortener, is their solution. “What it attempts to do,” Zimbalist says, “is dimensionalize and make really physical and tangible the way that news is shared.”

Yesterday afternoon, the team gave me a demo of the tool, which, in ultra-widescreen form, lives on a series of screens embedded in a wall outside the R&D Lab. And though, at this point, we’re all familiar with the wonders of social analytics, the tool distinguishes itself for the fact that it treats people not (well, not just) as data points, but rather as information agents — active participants in news consumption. One of the problems journalism, as an institution, has had in fully ... Lire la suite de l'article